Increasing the complexity is that the Hazard Simplification (HazSimp) projects sits within many systems. The aim is effective risk communication that empowers the individual to understand their risk and respond as appropriate. But, within this paradigm is a system of operational forecasting, and even further, a computing infrastructure that may not easily adapt to change. People and “things,” such as infrastructure, often interact in what the literature calls, “Participatory design.” As background, participatory design embodies the idea that the users of a particular thing, in this case, the NWS watch, warning, advisory system, should have a say in the design process (Bjögvinsson, Ehn, & Hillgren, 2012; Bødker & Iverson, 2002), which at this juncture could include minor changes to the WWA system or an entire redesign. In this spirit, then, the HazSimp team must ensure the full participation of NWS operational forecasters, as well as the external community, including NWS partners, and where appropriate the American public. Given that this is a process, it takes time and many iterations to ensure all of these key stakeholders are involved at all stages of the project.
As an initial step, the HazSimp team developed an open-ended case study survey designed to evaluate the strengths and weaknesses of the current WWA system. This presentation will cover the results from the NWS external survey distributed to NWS partners. The survey was distributed through a multipronged approach. First, all the NWS warning coordination meteorologists distributed the survey invitation to their extensive decision support list serves. Additionally, the International Emergency Management Association distributed it to their emergency management members. The National Weather Association and American Meteorological Society distributed the survey link to their certified broadcast meteorologists.
There were 2 tracks in the survey. Depending on the participants answer, they were either directed to an emergency management (EM) (and related fields) track or a broadcast meteorologist/weather industry track. Some survey questions included:
• Describe a hazardous weather event or general experience. • (Media/Wx Industry): Explain how the WWA system was effective/ineffective/limiting in your case study. • (EM): Describe the utility of NWS weather messaging. What worked well/not well for you? • (Media/Wx Industry): Did the watch, warning, and advisory system adequately enable you to convey the hazard information? • (EM): Did the watch, warning, and advisory system adequately enable you to make an appropriate decision? Why or why not? • Describe any features we should maintain about WWA. • Explain any outside factors that influence the success/failure of your case study. • In total, over 700 case studies were collected. The cases will be qualitatively coded following a grounded theory coding practice (see Charmaz, 2006, Chapter 3). The coding process as well as preliminary results and findings will be discussed.